requests VS Pandas

Compare requests vs Pandas and see what are their differences.

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more (by pandas-dev)
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requests Pandas
28 105
46,222 31,352
0.7% 1.6%
7.5 10.0
9 days ago 3 days ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

requests

Posts with mentions or reviews of requests. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-29.
  • What are the differences between the urllib, urllib2, urllib3 and requests module?
    In Python, what are the differences between the urllib, urllib2, urllib3 and requests modules? Why are there three? They seem to do the same thing...
  • Where can I read quality Python code
    Keep in mind that there's a lot of clutter in Requests' repository. The entire module is actually just these files.
    Starting with an incredibly complex project like a machine learning platform probably isn't a good idea. Try finding something easier. Maybe something like requests.
  • Why is the PSF ignoring its own CoC?
    reddit.com/r/Python | 2021-09-02
    https://github.com/psf/requests/pull/5923 adds back a logo that people find offensive because someone got it tattooed on their body? Doesn't the logo violate the Code of Conduct?
  • 3 Ways to Unit Test REST APIs in Python
    dev.to | 2021-07-22
    To retrieve the weather data, we'll use requests. We can create a function that receives a city name as parameter and returns a json. The json will contain the temperature, weather description, sunset, sunrise time and so on.
  • reader 2.0 released – a Python feed reader library
    reddit.com/r/Python | 2021-07-19
    want to change the way feeds are retrieved by using Requests?
  • How To Write Clean Code in Python
    dev.to | 2021-07-14
    Explore other well-written code bases. If you want some examples of well-written, clean, and Pythonic code, check out the Python requests library.
  • Everything to know about Requests v2.26.0
    dev.to | 2021-07-13
    Requests v2.26.0 is a large release which changes and removes many features and dependencies that you should know about when upgrading.
  • Multiple payloads with one POST request?
    Are you talking about multipart/mixed or some other form of multipart type? If so, look here: https://github.com/psf/requests/issues/1736 the parameter to pass is very confusingly named files. But, it seems to be going in the direction you want.
  • What are some good real-world examples of exceptions in Python? (like what open source projects are a good example of exception usage?)
    Custom exceptions: https://github.com/psf/requests/blob/1466ad713cf84738cd28f1224a7ab4a19e50e361/requests/exceptions.py

Pandas

Posts with mentions or reviews of Pandas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-13.
  • issue with Pandas version in the binary Compucell3D4.2.5
  • Intro to Data Analysis - Data Reading
    dev.to | 2021-10-14
    pandas
  • Working with Excel and XML, looking for guidance on how to approach a project.
    If you haven’t already, I’d suggest looking into Pandas to work with the Excel files. It takes care of a lot of the hassle. It can be hard starting off with it, but it’s very handy once you get the hang of it.
  • Can you please help me understand how this workflow could ne automated using Python?
    You can analysis data faster and working on larger data sets with pandas than with Excel. Pandas can also talk to databases and read/write Excel files.
  • Out played bitch
    He's talking about https://pandas.pydata.org/ for those that are curious
  • Anyone interested in getting into Python and Data Analysis/Machine Learning?
    For more information, check out https://pandas.pydata.org/. There are a lot of tutorials out there for pandas but they don't exactly cover data analysis.
  • I hate labs and I'm exhausted.
  • Help Searching a .csv Python
    Are you not allowed to use the Pandas library? Sorry, I’m not any more help than this specific suggestion.
  • 6502 - Some Thoughts on Open Source Projects
    dev.to | 2021-09-30
    Here, I am going to pick two open source packages to talk and compare with. Pandas VS. Prefect.
  • Product developers’ guide to getting started with AI — Part 3: Terraforming dataframes
    dev.to | 2021-09-30
    It is highly advised to have read part 2 before continuing forward. In this guide, we’ll be using the Titanic dataset along with Google Collab. I’ll be briefly reusing techniques from previous contents such as surfing and extracting to quickly start us off with an ideal dataframe for applying transformations and functions.

What are some alternatives?

When comparing requests and Pandas you can also consider the following projects:

urllib3 - Python HTTP library with thread-safe connection pooling, file post support, user friendly, and more.

httplib2 - Small, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.

Cubes - Light-weight Python OLAP framework for multi-dimensional data analysis

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

grequests - Requests + Gevent = <3

Dask - Parallel computing with task scheduling

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

NumPy - The fundamental package for scientific computing with Python.

SymPy - A computer algebra system written in pure Python

blaze - NumPy and Pandas interface to Big Data

treq - Python requests like API built on top of Twisted's HTTP client.

pyexcel - Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files